Now showing items 1-2 of 2

    • Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts 

      Genders, Tessa S S; Steyerberg, Ewout W; Nieman, Koen; Galema, Tjebbe W; Mollet, Nico R; de Feyter, Pim J; Krestin, Gabriel P; Alkadhi, Hatem; Leschka, Sebastian; Desbiolles, Lotus; Meijs, Matthijs F L; Cramer, Maarten J; Knuuti, Juhani; Kajander, Sami; Bogaert, Jan; Goetschalckx, Kaatje; Cademartiri, Filippo; Maffei, Erica; Martini, Chiara; Seitun, Sara; Aldrovandi, Annachiara; Wildermuth, Simon; Stinn, Björn; Fornaro, Jürgen; Feuchtner, Gudrun; De Zordo, Tobias; Auer, Thomas; Plank, Fabian; Friedrich, Guy; Pugliese, Francesca; Schoepf, U Joseph; Rowe, Garrett W; van Mieghem, Carlos A G; van Driessche, Luc; Sinitsyn, Valentin; Gopalan, Deepa; Nikolaou, Konstantin; Bamberg, Fabian; Cury, Ricardo C; Battle, Juan; Maurovich-Horvat, Pál; Bartykowszki, Andrea; Merkely, Bela; Becker, Dávid; Hadamitzky, Martin; Hausleiter, Jörg; Dewey, Marc; Zimmermann, Elke; Laule, Michael; Hunink, Maria G M; Petersen, Steffen Erhard; Davies, L. Ceri (BMJ Publishing Group Ltd., 2012)
      Objectives: To develop prediction models that better estimate the pretest probability of coronary artery disease in low prevalence populations. Design Retrospective pooled analysis of individual patient data. Setting 18 ...
    • Systematic analysis of funding awarded to institutions in the United Kingdom for infectious disease research, 1997–2010 

      Head, Michael G; Fitchett, Joseph R; Moore, David AJ; Atun, Rifat (SAGE Publications, 2015)
      Summary Objectives: This study aimed to assess the research investments made to UK institutions for all infectious disease research and identify the direction of spend by institution. Design: Systematic analysis. Databases ...